Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.
Gauthier TallecEdouard YvinecArnaud DapognyKevin BaillyPublished in: ICIP (2023)
Keyphrases
- neural network
- learning process
- pattern recognition
- learning systems
- genetic algorithm
- error back propagation
- neural nets
- knowledge acquisition
- background knowledge
- online learning
- active learning
- class labels
- prior knowledge
- feed forward
- recurrent neural networks
- pairwise
- learning rules
- decision trees
- cascade correlation